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Volumn 9, Issue 4, 1998, Pages 315-322

Wavelet networks for sensor signal classification in flank wear assessment

Author keywords

Feedforward neural networks; Flank wear assessment; Signal classification; Wavelet networks

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; MONITORING; QUALITY CONTROL; SENSORS; SIGNAL PROCESSING; TURNING; VIBRATIONS (MECHANICAL); WAVELET TRANSFORMS;

EID: 0000695619     PISSN: 09565515     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008970608121     Document Type: Article
Times cited : (26)

References (17)
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  • 10
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    • Sensor data representation schemes for flank wear estimation in turning processes
    • Department of Mechanical, Industrial and Manufacturing Engineering, Northeastern University, Boston, MA
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    • Kamarthi, S.V.1    Pittner, S.2
  • 11
    • 0031269211 scopus 로고    scopus 로고
    • Fourier and wavelet transform for flank wear estimation - A comparison
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    • (1997) Mechanical Systems and Signal Processing , vol.11 , Issue.6 , pp. 791-809
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  • 16
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    • Vilim, R. B. and Wegerich, S. W. (1995) A neural network classifier with analytic translation and scaling capabilities for optimal signal viewing, in Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, Fuzzy Logic and Evolutionary Programming, Dagli, C. H., Akay, M., Chen, C. L. P., Fernández, B. R. and Ghosh, J. (eds), ASME Press, New York, pp. 719-726.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.